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The fields of computer-assisted instruction and intelligent tutoring systems have had few vehicles for sharing ideas or programs. Different backgrounds and settings meant reading different journals and attending different conferences. The purpose of this book is to foster a mutual understanding of shared issues and contemporary approaches so as to further powerful educational applications of computing. It is unique in drawing on both the intelligent tutoring systems and computer assisted instruction communities. Each chapter provides an in-depth discussion by leaders in these fields of current work, focusing on instructional programs -- their design, use, and evaluation. The editors and authors have made extensive efforts to ensure each chapter's clarity and readability for both communities.
The fields of computer-assisted instruction and intelligent tutoring systems have had few vehicles for sharing ideas or programs. Different backgrounds and settings meant reading different journals and attending different conferences. The purpose of this book is to foster a mutual understanding of shared issues and contemporary approaches so as to further powerful educational applications of computing. It is unique in drawing on both the intelligent tutoring systems and computer assisted instruction communities. Each chapter provides an in-depth discussion by leaders in these fields of current work, focusing on instructional programs -- their design, use, and evaluation. The editors and authors have made extensive efforts to ensure each chapter's clarity and readability for both communities.
This collection of essays -- each of which treats an integral aspect of the field -- defines several key concepts and their interrelationships, outlines basic research issues, and discusses near-term applications projects. The book examines three foundations of ITSs in detail -- expert, student diagnostic, and instructional or curricular knowledge -- and describes: * How they are embodied in computer-assisted instructional environments * How these systems accrue the advantages of advanced computer interface technologies * How ITSs will emerge in the real world of complex problem solving * How researchers must learn to evaluate the effectiveness and overall quality of these dynamic systems in a world where machine tutoring may one day be taken for granted. Justine Wise Polier (1903-1987) was educated at Bryn Mawr, Radcliffe, and Barnard. She earned her law degree from Yale Law School where she was editor of the Yale Law Journal. In 1935, she was appointed Justice of the Family Court where she sat for 38 years. Judge Polier took a leave from the bench in 1941 when she was appointed special advisor to Eleanor Roosevelt at the Office of Civilian Defense in Washington. She also served as Chairman of the Committee on Mental Health for New York. Judge Polier was a founder and president of the Wiltwyck School; vice president of the Citizens Committee for Children of N.Y.; vice president of the American Jewish Congress; Delegate to the White House Conferences on Children and on Education. Judge Polier was a member of the Institute of Judicial Administration, American Bar Association. She was on the editorial board of the International Juridical Association and was awarded the 1964 Isaac Ray Award by the American Psychiatric Association for "contributions to the improvement of the relations of Law and Psychiatry." Following her retirement from the bench, she served as the director of the Juvenile Judge division of the Children's Defense Fund. During her illustrious career, Judge Polier was the recipient of numerous awards including: the Citation for Distinguished Service to the City of New York, 1973; the Human Services Award from the New York and Bronx Mental Health Association, 1973; the Eleanor Roosevelt Humanitarian Award from the Board of Directors of Wiltwyck School, 1975. Judge Polier also published numerous reports and several books including: Everyone's Children, Nobody's Child; Back to What Woodshed?; A View from the Bench; and The Rule of Law and the Role of Psychiatry.
Overview of the history and principles of computer assisted instruction, with a focus on the evolution of the Guidon tutoring system in order to provide an understanding of the contributions of artificial intelligence, cognitive science and educational theory in the development of intelligent tutoring systems.
The evolution from Computer-Aided Instruction (CAI) to Intelligent Computer-Aided Instruction (ICAI) was the first step by which education and artificial intelligence communities began to look at each other's work. This text looks at the evolution toward Intelligent Tutoring Systems (ITS) which can be thought of as a step beyond ICAI, leading to more classes of problems and approaches. ITS involves artificial intelligence concepts approaches, dynamic student modelling, human cognition, intelligent user interfaces, intelligent help systems and the use of strategies.
Editor's Introduction.- Dialogue Constraints in Instruction.- Asymmetry & Accommodation in Tutorial Dialogues.- Negotiation in Collaborative Problem-Solving Dialogues.- Using Rhetorical Relations in Building a Coherent Conversational Teaching Session.- Graphics & Natural Language in Design & Instruction.- Simulator-Based Training-Support Tools for Process-Control Operators.- Designing Newton's Laws: Patterns of Social & Representational Feedback in a Learning Task.- Learning by Explaining: Fostering Collaborative Progressive Discourse in Science.- Tools for Collaborative Learning in Optics.- Deciding What to Say: An Agent-Theoretic Approach to Tutorial Dialogue.- Feedback in Computer-Assisted Instruction: Complexity & Corrective Efficiency.- Relying on a Sophisticated Student Model to Derive Dialogue Strategies in an Intelligent Tutoring System.- Dialogue Control Functions & Interaction Design.- The Role of Feedback in a Layered Model of Communication.- Communicative Action & Feedback.- >Reasons for Management in Spoken Dialogue.- Context Change & Communicative Feedback.- The Design of Interacting Agents.- Method for Dialogue Protocol Analysis.- Natural Dialogue in Modes other than Natural Language.- Coherence & Portrayal in Human-Computer Interface Design.- Feedback Issues in Consumer Appliances.- Advertisements, Proxies, & Wear: Three Methods for Feedback in Interactive Systems.- Author Index.
Multilingual communication within the world community is important for economic, political, and cultural interactions. In a global environment where other languages are increasing in importance in addition to recognized intemational standards (i. e., English and French), language learning is becoming more important for improved international relations. At the same time, recent advances in instructional technology make the promise of building intelligent tutoring systems in advanced technology laboratories to teach these language skills a reality in the near future. These tutoring systems, therefore, may help us foster improved methods for acquiring languages. As active language learners and instructional technology researchers, we felt an international meeting with similar individuals was needed to discuss how such advanced tutoring systems are to be designed and implemented. We held such a meeting, the results of which are presented in this volume. The purpose of this Advanced Workshop, sponsored by the NATO Scientific Affairs Division, was to bring together a multidisciplinary group of researchers who were active in the development of intelligent tutoring systems for foreign language learning. Participants came from computer science, computational linguistics, psychology, and foreign language learning. Washington, D.C. was selected for the Workshop site since it is Merryanna's home city, the capitol of the United States, and an international, multilingual community in its own right. Masoud agreed to the location (with a promise to be shown the White House!) and graciously volunteered to coordinate activities from the European side.
Learning Issues for Intelligent Tutoring Systems arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems. This book offers complete and up-to-date reviews of the major research programs in computer-aided instruction and intelligent tutoring systems. Learning Issues for Intelligent Tutoring Systems is an important and useful introduction to this rapidly changing field.
The power and potential of current ITS technology is described here by the designers and builders of major ITS projects. The book illustrates how, in less than a decade, the field of Intelligent Tutoring Systems has advanced from experimental systems in universities to systems that perform practical, real-world tasks. Intelligent Tutoring Systems: Lessons Learned provides a first-hand, detailed account of how these systems were designed and built out of state-of-the-art technology. The essays build on the basic research foundations of the field and define the abilities and limitations of current knowledge. With this critical volume, teachers and industrial trainers have a realistic view of the future of their professions, and students, researchers, and professionals in AI, education, cognitive science, and psychology have both an introduction to the field and a comprehensive reference.